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Cited by 7
Fuzzifier Selection in Fuzzy C-Means from Cluster Size Distribution Perspective

Self-regulation Management in IoT Infrastructure Using Machine Learning
Maria Stepanova, Oleg Eremin, Andrey Proletarsky
https://doi.org/10.1007/978-981-16-8248-3_1
Book:  Lecture Notes in Electrical Engineering (Recent Innovations in Computing) Volume 832 (2022), p. 3
User Behaviour Analysis of Public Charging Infrastructure for Electric Vehicles
Christopher Hecht, Bei Luo, Jan Figgener, Dirk Uwe Sauer
https://doi.org/10.1007/978-3-658-39438-7_64
Book:  (2023), p. 1127
Forty years of color quantization: a modern, algorithmic survey
M. Emre Celebi
https://doi.org/10.1007/s10462-023-10406-6
Journal:  Artificial Intelligence Review Volume 56, Issue 12 (2023), p. 13953
Fuzzy C-Means Clustering Algorithms with Weighted Membership and Distance
Bruno Almeida Pimentel, Rafael de Amorim Silva, Jadson Crislan Santos Costa
https://doi.org/10.1142/S0218488522500143
Journal:  International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Volume 30, Issue 04 (2022), p. 567
Generalized possibilistic c-means clustering with double weighting exponents
Chengmao Wu, Dongxue Yu
https://doi.org/10.1016/j.ins.2023.119283
Journal:  Information Sciences Volume 645 (2023), p. 119283
Grapevine stem water potential seasonal curves: response to meteorological conditions, and association to yield and red wine quality
Noa Ohana-Levi, Sarel Munitz, Yishai Netzer
https://doi.org/10.1016/j.agrformet.2023.109755
Journal:  Agricultural and Forest Meteorology Volume 342 (2023), p. 109755
Regional clustering based on economic potential with a modified fuzzy k-prototypes algorithm for village developing target determination
Hermawan Prasetyo
https://doi.org/10.14710/jtsiskom.2021.14247
Journal:  Jurnal Teknologi dan Sistem Komputer Volume 10, Issue 1 (2022), p. 46


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